Biomarker pathway heterogeneity of amyloid-positive individuals
- PMID: 39417393
- PMCID: PMC11667528
- DOI: 10.1002/alz.14287
Biomarker pathway heterogeneity of amyloid-positive individuals
Abstract
Introduction: In amyloid-positive individuals, disease-related biomarker heterogeneity is understudied.
Methods: We used Subtype and Stage Inference (SuStaIn) to identify data-driven subtypes among cerebrospinal fluid (CSF) amyloid beta (1-42)-positive individuals from the Alzheimer's Disease Neuroimaging Initiative (ADNIGO/2 [n = 376]). Variables included: CSF phosphorylated tau (p-tau181), hippocampal and whole-brain volume, logical memory (LM), composite Trail Making Test score, and white matter hyperintensity (WMH) volumes. CSF amyloid-negative, apolipoprotein E ε4 non-carrier cognitively unimpaired controls (n = 86) were used to calculate z scores.
Results: One subtype (n = 145) had early LM changes, with later p-tau and WMH changes. A second subtype (n = 88) had early WMH changes, were older, and more hypertensive. A third subtype (n = 100) had early p-tau changes, and reflected typical Alzheimer's disease. Some amyloid positive (n = 43) individuals were similar to the amyloid-negative group.
Discussion: This work identified heterogeneity in individuals who are conventionally considered homogeneous, which is likely driven by co-pathologies including cerebrovascular disease.
Highlights: Data-driven modeling identified marker heterogeneity in amyloid-positive individuals. Heterogeneity reflected Alzheimer's disease-like, vascular-like, and mixed pathology presentations. Some amyloid-positive individuals were more similar to amyloid-negative controls. Vascular pathology plays a key role in understanding heterogeneity in those on the amyloid pathway.
Keywords: Alzheimer's disease; amyloid positive; heterogeneity; mixed dementia; subtype and stage inference; vascular pathology.
© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
Conflict of interest statement
L. Prosser reports no disclosures additional to those that support the DRC. C. H. Sudre reports no disclosures additional to those that support the DRC. N. P. Oxtoby consults for Queen Square Analytics Limited (UK). A. L. Young was supported by the Wellcome Trust (227341/Z/23/Z). I. B. Malone is supported by grants to his institution from NIH and is an employee of the DRC which is supported by Alzheimer's Research UK, Brain Research Trust, and The Wolfson Foundation. E. M. Manning reports no disclosures additional to those that support the DRC. H. Pemberton reports no disclosures additional to those that support the DRC. P. Walsh reports no disclosures additional to those that support the DRC. F. Barkhof supported by the NIHR biomedical research centre at UCLH. F. Barkhof is part of the Steering committee or data safety monitoring board member for Biogen, Merck, Eisai, and Prothena; is an advisory board member for Combinostics and Scottish Brain Sciences; a consultant for Roche, Celltrion, Rewind Therapeutics, Merck, and Bracco; has research agreements with ADDI, Merck, Biogen, GE Healthcare, and Roche; and is a co‐founder and shareholder of Queen Square Analytics LTD. G. J. Biessels reports no additional disclosures. D. M. Cash reports no disclosures additional to those that support the DRC. J. Barnes reports no disclosures additional to those that support the DRC. Author disclosures are available in the supporting information.
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References
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- Hardy JA, Higgins GA. Alzheimer's disease: the amyloid cascade hypothesis. Science (1979). 1992;256(5054):184‐186. - PubMed
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- Takeda Pharmaceutical Company; Transition Therapeutics
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- Alzheimer's Drug Discovery Foundation
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